The SDN For Fog Computing In VANETs

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The SDN For Fog Computing In VANETs | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The SDN For Fog Computing In VANETs Ali Kies, Amal Boumedjout, Zoulikha Mekkakia Maaza, Farah Hachem This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6673672/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 15 You are reading this latest preprint version Abstract The rise of mobile applications in the Internet of Things (IoT) demands substantial computational power, which mobile devices often lack due to energy and processing limitations. Vehicular fog computing offers a solution by utilizing parked vehicles as computational nodes, bringing resources closer to users. The main objective of this study is to explore the use of electric vehicles as computational nodes in a fog computing architecture, allowing mobile users to offload tasks to these idle vehicles. This approach seeks to reduce latency, lower costs, and enhance resource efficiency compared to conventional cloud solutions. To address the challenges of resource management in this dynamic environment, we propose a method that uses a Software-Defined Networking (SDN) controller to dynamically manage vehicular fog resources. The approach is validated through simulations in Matlab Simulink, with results showing that using parked vehicles as fog nodes effectively reduces latency and optimizes resource allocation. The SDN-based system provides superior computing services compared to local processing, improving overall system performance. Vehicular Fog Computing Resource Allocation dynamic environment SDN Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 16 Sep, 2025 Reviews received at journal 21 Jul, 2025 Reviews received at journal 20 Jun, 2025 Reviews received at journal 17 Jun, 2025 Reviews received at journal 16 Jun, 2025 Reviews received at journal 15 Jun, 2025 Reviewers agreed at journal 12 Jun, 2025 Reviewers agreed at journal 11 Jun, 2025 Reviewers agreed at journal 10 Jun, 2025 Reviewers agreed at journal 10 Jun, 2025 Reviewers agreed at journal 10 Jun, 2025 Reviewers invited by journal 10 Jun, 2025 Editor assigned by journal 17 May, 2025 Submission checks completed at journal 16 May, 2025 First submitted to journal 15 May, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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